biostudies-literatureUnknown10(2)Lin G<h4>Background</h4>Currently, there is no reliable method for predicting the prognosis of patients with large cell lung cancer (LCLC). The aim of this study was to develop and validate a nomogram model for accurately predicting the prognosis of patients with LCLC.<h4>Methods</h4>LCLC patients, diagnosed from 2007 to 2009, were identified from the Surveillance, Epidemiology and End Results (SEER) database and used as the training dataset. Significant clinicopathologic variables (P<0.05) in a multivariate Cox regression were selected to build the nomogram. The performance of the nomogram model was evaluated by the concordance index (C-index), the area under the curve (AUC), and internal calibration. LCLC patients diagnosed from 2010 to 2016 in the SEER database were selected as a testing datTranslational lung cancer research622-635https://www.ebi.ac.uk/biostudies/studies/S-EPMC7947411biostudies-literatureA nomogram prognostic model for large cell lung cancer: analysis from the Surveillance, Epidemiology and End Results Database.PMC7947411Liu HLi JQi KLin GLiu BfalseA nomogram prognostic model for large cell lung cancer: analysis from the Surveillance, Epidemiology and End Results Database.<h4>Background</h4>Currently, there is no reliable method for predicting the prognosis of patients with large cell lung cancer (LCLC). The aim of this study was to develop and validate a nomogram model for accurately predicting the prognosis of patients with LCLC.<h4>Methods</h4>LCLC patients, diagnosed from 2007 to 2009, were identified from the Surveillance, Epidemiology and End Results (SEER) database and used as the training dataset. Significant clinicopathologic variables (P<0.05) in a multivariate Cox regression were selected to build the nomogram. The performance of the nomogram model was evaluated by the concordance index (C-index), the area under the curve (AUC), and internal calibration. LCLC patients diagnosed from 2010 to 2016 in the SEER database were selected as a testing dat2021-01-01T00:00:00Z2021 Feb2025-04-26T18:31:41.063Z2025-02-19T01:41:08.476ZS-EPMC79474113371800910.21037/tlcr-19-517b